Article Per Year (5 Year)
p-Index From 2021 - 2026
7.768
P-Index
This Author published in this journals
All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Reviu Akuntansi dan Keuangan JURNAL ECONOMIA Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi) Jurnal Ergonomi Indonesia (The Indonesian Journal of Ergonomic) Jurnal SPEKTRUM Jurnal Pendidikan Teknologi dan Kejuruan EL-MUHASABA Bulletin of Electrical Engineering and Informatics Journal of Economics, Business, & Accountancy Ventura Jurnal Ilmiah Mahasiswa FEB JAM : Jurnal Aplikasi Manajemen Jurnal Akuntansi Multiparadigma Wacana, Jurnal Sosial dan Humaniora TEMA (Jurnal Tera Ilmu Akuntansi) Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Ilmiah Administrasi Publik The International Journal of Accounting and Business Society Infestasi Register: Jurnal Ilmiah Teknologi Sistem Informasi JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Jurnal Akuntansi Aktual JOURNAL OF APPLIED INFORMATICS AND COMPUTING SINTECH (Science and Information Technology) Journal International Journal of Social Science and Business Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Journal of Computer Science and Informatics Engineering (J-Cosine) QARDHUL HASAN: MEDIA PENGABDIAN KEPADA MASYARAKAT EKUITAS (Jurnal Ekonomi dan Keuangan) IMANENSI: Jurnal Ekonomi, Manajemen dan Akuntansi Islam BALANCE: Economic, Business, Management and Accounting Journal Informatika Journal of Islamic Accounting and Finance Research Jurnal Pengabdian kepada Masyarakat Nusantara International Journal of Engineering, Science and Information Technology Jurnal Ilmiah Wahana Pendidikan Journal of International Conference Proceedings Journal of Research Applications in Community Services Samvada: Jurnal Riset Komunikasi, Media, dan Public Relation Bulletin of Social Informatics Theory and Application Reviu Akuntansi, Keuangan, dan Sistem Informasi Telaah Ilmiah Akuntansi dan Perpajakan (TIARA) Scientific Journal of Informatics Mikailalsys Journal of Advanced Engineering International Jurnal Ilmiah Akuntansi dan Bisnis Open Access DRIVERset
Made Sudarma
Brawijaya University
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Transportation Other

Published : 115 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 115 Documents
Search

 7   8   9   10   11 
Optimizing traffic lights at unbalanced intersections using deep reinforcement learning Khrisne, Duman Care; Sudarma, Made; Giriantari, Ida Ayu Dwi; Wiharta, Dewa Made
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 14, No 4: August 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v14.i4.pp2991-3002

Abstract

Unbalanced intersectional traffic flow increases vehicle delays, fuel consumption, and pollution. This study investigates the application of deep reinforcement learning (DRL) to optimize traffic signal timing at the Pamelisan intersection in Denpasar, Indonesia. Real-world traffic data were incorporated into a SUMO microsimulation environment to train DRL agents using the deep Q-network (DQN) algorithm. Experimental results show that DRL-based optimization reduced the average vehicle waiting time from 594.49 seconds (static control) to 169.44 seconds and 173.10 seconds for agents trained without and with noise, respectively. The average vehicle speed remained stable at 5.6–5.97 m/s across all scenarios, indicating enhanced traffic efficiency without adverse effects. The findings underscore the effectiveness and adaptability of DRL in addressing traffic inefficiencies, optimizing them, and offering a robust solution for dynamic traffic management at unbalanced traffic intersections in urban areas.
KOMUNIKASI ANGGOTA KOMUNITAS LOMBOK INFLUENCER DALAM MENINGKATKAN BRAND AWARENESS UMKM HINDU DI KOTA MATARAM Trismia Indriyani, Ni Putu; Wirata, I Wayan; Sudarma, Made; Sutama, I Wayan
Samvada : Jurnal Riset Komunikasi, Media, dan Public Relation Vol 1 No 1 (2022): Samvada Mei 2022
Publisher : IAHN Gde Pudja Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (254.784 KB) | DOI: 10.53977/jsv.v1i1.521

Abstract

Komunitas Lombok Influencer merupakan komunitas pertama dan terbesar yang menghimpun para selebgram di Nusa Tenggara Barat. Komunitas ini bertujuan membantu UMKM dan pelaku usaha dalam memilih selebgram untuk mempromosikan produk mereka dan meningkatkan brand awareness dari produk yang dipasarkan. Sejauh ini sudah terdapat dua UMKM Hindu yang menggunakan jasa Komunitas Lombok Influencer yaitu Raos Udeng Bali dan Simfony Kebaya Botique. Penelitian ini bertujuan menganalisis peran komunikasi komunitas, strategi komunikasi, dan implikasi komunikasi anggota Komunitas Lombok Influencer dalam meningkatkan Usaha Mikro Kecil dan Menengah Hindu di Kota Mataram. Untuk menganalisis hal tersebut menggunakan teori Stimulis Organism Respons (SOR) dan teori Uses and Gratifications. Penelitian ini menggunakan metode penelitian kualitatif, sedangkan teknik pengumpulan data menggunakan observasi, wawancara, dan dokumentasi. Analisis data menggunakan pengumpulan data, reduksi data, penyajian data dan penarikan kesimpulan. Hasil penelitian menunjukkan komunikasi komunitas Lombok Influencer memiliki peran penting dalam meningkatkan brand awareness UMKM Hindu baik secara internal maupun eksternal. Pemanfaatan media digital yang berkembang merupakan strategi yang dimaksimalkan oleh admin Lombok Influencer, anggota komunitas, dan UMKM Hindu dalam mempromosikan postingan kontennya, serta hasil dari konten tersebut berupa insight postingan dari masing-masing selebgram yang dipilih.
EEG-Based Focus Analysis to Evaluate the Effectiveness of Active Learning Approaches Udayana, I Putu Agus Eka Darma; Sudarma, Made; Putra, I Ketut Gede Darma; Sukarsa, I Made; Jo, Minho
International Journal of Engineering, Science and Information Technology Vol 5, No 4 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i4.1068

Abstract

Electroencephalography (EEG) has emerged as a non-invasive and objective technique for monitoring brain activity in real time, widely applied to measure cognitive states such as concentration and alertness. Its ability to capture brain responses during learning processes makes EEG a promising tool to evaluate student engagement more accurately than conventional methods. This study investigates the effectiveness of two active learning methods, Project-Based Learning (PjBL) and Problem-Based Learning (PBL), in the context of English tutoring for elementary students using EEG signals as a cognitive indicator. A total of 20 students aged 8–12 years from ThinkerBee Learning Centre Bali participated in the study. EEG data were recorded using the Muse 2 Headband while students completed test-based tasks designed for each learning method. The EEG signals were preprocessed using bandpass filtering, Continuous Wavelet Transform (CWT), and frequency band decomposition. Concentration scores were then calculated using two approaches: a heuristic method based on the Beta/(Theta + Alpha) ratio and a Long Short-Term Memory (LSTM) model. The heuristic method produced average scores of 0.3991 (PjBL) and 0.3822 (PBL), with a 4.42% difference, while the LSTM model showed a more substantial difference, with scores of 0.5454 (PjBL) and 0.4265 (PBL). A Spearman correlation test between EEG-derived scores and students’ academic results yielded a perfect correlation value of 1.0000, indicating a strong relationship between cognitive engagement and learning outcomes. These results demonstrate the potential of EEG as a reliable tool for objectively assessing learning effectiveness in primary education contexts.
Pengaruh Fraud Pentagon Theory Dalam Mendeteksi Kecurangan Laporan Keuangan (Studi Pada Perusahaan Bumn Yang Terdaftar Di Bei Periode 2019-2021) Zefanya Nadya Putri; Sudarma, Made
Reviu Akuntansi, Keuangan, dan Sistem Informasi Vol. 2 No. 2 (2023): Reviu Akuntansi, Keuangan dan Sistem Informasi (REAKSI)
Publisher : Fakultas Ekonomi dan Bisnis Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/reaksi.2023.2.2.107

Abstract

This study aims to determine the effect of the pentagon fraud theory in detecting fraudulent financial statements in State Owned Enterprises (BUMN) listed on the Indonesia Stock Exchange (IDX) for the 2019-2021 period. By using purposive sampling for sampling methods, obtained 21 companies for three periods or as many as 63 samples. The analysis is performed using multiple linear regression analysis methods. The study's result indicates a significant influence of the nature of the industry and personal financial situation on fraudulent financial statements.
Smart Stego: A Web Application for Hiding Secret Data in Images with LSB and CNN Suryawan, I Gede Totok; Sudarma, Made; Putra, I Ketut Gede Darma; Sudana, Anak Agung Kompiang Oka
International Journal of Engineering, Science and Information Technology Vol 5, No 4 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i4.1008

Abstract

This study develops a web-based steganography model to insert the identity of artisans in the form of palmprint images into the image of gringsing ikat woven cloth as a medium for ownership authentication. The method used in the insertion process combines a Convolutional Neural Network and the Least Significant Bit. In contrast, extracting or re-introducing palmprint images from stego images is carried out using a CNN-based classification model. This system was tested with two scenarios; in the first scenario, one palmprint image was inserted into 26 different cloth motifs, while in the second scenario, one cloth motif was inserted into 99 different palmprint images. The test results showed that the system produced consistent confidence values for all cloth motifs in the first scenario. In contrast, in the second scenario, the system achieved an average confidence of 93.5% and a recognition accuracy of 87%. The developed application has proven to be efficient with a reduction in stego image size of up to 66% while maintaining the quality of the stego image, as well as a speedy average execution time of 0.15 seconds for insertion and 0.09 seconds for extraction. These findings prove that the developed steganography model can effectively insert and re-recognize identity images (palmprints) in woven cloth images and has the potential to be applied as an image-based craft product ownership verification system.
Comparing Data Preprocessing Strategy on T5 Architecture to Classify ICD-10 Diagnosis Lanang Wijayakusuma, I Gusti Ngurah; Sudarma, Made; Darma Putra, I Ketut Gede; Sudana, Oka; Astutik, Dian
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 9 No 5 (2025): October 2025
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v9i5.6919

Abstract

Manual ICD-10 coding in healthcare systems remains time-consuming, error-prone, and inefficient, particularly in resource-constrained settings. This study investigates the effect of various preprocessing strategies on the performance of the Text-to-Text Transfer Transformer (T5) model for primary diagnosis classification using structured clinical data. A total of 7,263 clinical records were collected from two high-density regions in Bali (Badung and Gianyar) between January 2023 and March 2024, then converted into descriptive text prompts for model training. Four experimental scenarios combined variations of input features and label configurations, comparing T5 with Oversampling against T5 with Easy Data Augmentation (EDA) plus Oversampling. Results showed that T5 with Random Oversampling consistently outperformed the EDA-based configuration across all scenarios, with performance gaps ranging from 8% to 19%. Scenario 4, which excluded body system features and the semantically overlapping E860 label, achieved the highest balance, reaching 84.7% accuracy, 85.1% precision, 84.7% recall, and 84.3% F1-score. Conversely, the EDA-based approach reduced training time by up to 72%, indicating a clear trade-off between performance and efficiency. Both configurations frequently misclassified semantically similar codes within the same ICD-10 categories, underscoring the difficulty of distinguishing clinically related diagnoses. Overall, the results suggest that careful selection of preprocessing strategies can enhance transformer-based medical text classification, while striking a balance between model performance and training efficiency. This work may serve as an initial reference for developing more efficient semi-automated medical coding systems in the Indonesian regional healthcare context.
Implementasi SIAPIK untuk Meningkatkan Literasi Keuangan UMKM Malang Di Era Digital Sudarma, Made; Wulandari, Putu Prima
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 6 No. 1.1 (2024): Jurnal Pengabdian kepada Masyarakat Nusantara (JPkMN) SPECIAL ISSUE
Publisher : Lembaga Dongan Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Sebagai negara dengan tingkat pertumbuhan ekonomi terbesar di Asia Tenggara, Ekonomi Digital Indonesia ditargetkan menjadi salah satu aktor utama ekonomi digital. Namun, di tengah perkembangan teknologi yang semakin pesat, sektor Usaha Mikro, Kecil, dan Menengah (UMKM) menghadapi sejumlah peluang yang signifikan sekaligus sejumlah rintangan. Pengelolaan dan perencanaan keuangan yang tepat dan akurat menjadi tantangan tersendiri dalam menjaga keberlanjutan dan pertumbuhan UMKM. Sebagai salah satu upaya mengatasi hal ini, tim PKM Departemen Akuntansi Universitas Brawijaya melakukan sosialisasi dan pelatihan mengenai perencanaan keuangan dan pelatihan Sistem Informasi Aplikasi Pencatatan Informasi Keuangan (SIAPIK) kepada UMKM di Kota Malang. Tujuannya adalah untuk meningkatkan kapabilitas perencanaan keuangan UMKM dengan memfasilitasi praktik penggunaan SIAPIK. Berdasarkan hasil evaluasi, diperoleh bahwa indikator pelaksanaan dan kebermanfaatan menunjukkan kategori sangat baik. Respons kuesioner juga menunjukkan lebih dari 85% peserta merasa puas dengan pelaksanaan kegiatan, baik dari segi pemahaman materi, manfaat yang didapat, hingga minat terhadap implementasi aplikasi yang disarankan. Dengan ini, para pelaku UMKM Malang diharapkan mampu memanfaatkan SIAPIK untuk meningkatkan akurasi pencatatan dan mendukung pengambilan keputusan yang lebih baik dalam pengelolaan usaha mereka.
Evaluasi SIMRS pada Manajemen Sumber Daya Manusia dengan Framework COBIT 5 Prabawa, I Nyoman Angga; Widyantara, I Made Oka; Sudarma, Made
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 9 No 3: Juni 2022
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2022934749

Abstract

Salah satu prasyarat terhadap standar sebuah rumah sakit di Indonesia, termasuk di Rumah Sakit Umum Daerah (RSUD) Klungkung adalah adanya penggunaan Sistem Informasi Manajemen Rumah Sakit (SIMRS). Disamping itu, sumber daya manusia (SDM) adalah salah satu faktor yang memiliki peran penting dalam keberhasilan penerapan SIMRS. Dua pernyataan tersebut menjadi sasaran program bagi RSUD Klungkung yang berkeinginan untuk meningkatkan pemanfaatan teknologi dan SIMRS, serta kuantitas dan kualitas SDM RS. Untuk itu, dibutuhkan evaluasi pada setiap pihak yang terlibat dalam penerapan SIMRS di RSUD Klungkung. Selain untuk mengukur sejauh mana penerapan SIMRS yang telah berjalan, evaluasi ini juga bertujuan untuk melihat seberapa baik SDM yang terlibat di dalamnya telah dikelola. Proses evaluasi dilaksanakan dengan mengacu pada kerangka kerja Control Objectives for Information and Related Technology versi 5 (COBIT 5) pada sub domain proses Align, Plan, and Organise 07 (APO07), yakni Manage Human Resources. Metode pengukuran dan proses analisa penelitian didasarkan pada penilaian kuesioner setiap responden yang memiliki keterlibatan dalam penerapan SIMRS. Hasil penelitian menunjukkan bahwa penerapan SIMRS terhadap manajemen SDM berada pada tingkat kapabilitas 1 dengan nilai sebesar 74%. Analisa kesenjangan terhadap tingkat kapabilitas harapan yang berada pada tingkat kapabilitas 3 menghasilkan usulan rekomendasi perbaikan guna menyusun rencana strategis manajemen SDM serta meningkatkan pemanfaatan layanan SIMRS dan Teknologi Informasi (TI). AbstractHospital Management Information System (SIMRS) is one of the requirements for the hospital’s standards in Indonesia, including at the Regional Public Hospital (RSUD) of Klungkung. Additionally, human resources (HR) have the main role in SIMRS's successful implementation. The statements become the RSUD Klungkung targets to improve technology and SIMRS uses, also the quantity and quality of human resources. The SIMRS evaluation is needed for each party involved in its implementation. It is carried out to measure the SIMRS implements and to ensure human resources involved have been well managed. The evaluation process is measured using Control Objectives for Information and Related Technology 5th version (COBIT 5) framework within the sub domain process Align, Plan, and Organise 07 (APO07), namely Manage Human Resources. The analysis is based on an assessment of each respondent’s questionnaire who involved in the SIMRS implementation. The result shows that SIMRS implementation towards human resources management is at capability level 1 with a value of about 74%. Gap analysis of expected capabilities at capability level 3 provides recommendation improvements in order to increase the strategic plan for SDM management as well as SIMRS and Information Technology (IT) service.
Penerapan Metode Extreme Programming pada Rancang Bangun Sistem Analisis Sentimen Portal Berita Premana Putra, I Gede Bagus; Sudarma, Made; Manuaba, Ida Bagus Gede
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 10 No 6: Desember 2023
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2023106904

Abstract

Berita dalam bentuk portal online di era globalisasi menjadi suatu wadah yang dapat digunakan oleh setiap individu untuk menyampaikan informasi tentang seorang individu ataupun organisasi, yang didalamnya terdapat penyampaian nilai emosional pribadi, baik itu bersifat negatif, netral, ataupun positif (atau lebih dikenal dengan sentimen). Keberadaan berita tersebut menciptakan suatu peluang untuk pengembangan sistem analisis sentimen terdapat informasi yang telah disampaikan dalam portal berita. Sistem analisis sentimen tersebut dapat dikembangan dengan dengan berbagai teknik dan layanan, salah satunya adalah dengan mengintegrasikan antara sistem dan layanan Google NLP, yang telah memiliki service untuk menentukan score sentimen dari setiap kalimat yang diberikan, serta penerapan teknik web scrapping sebagai metode untuk pengambilan data. Sistem dikembangan dengan framework Laravel dengan metode pengembangan Extreme Programming yang mendukung pengembangan sistem dalam waktu singkat. Pemilihan website sebagai base sistem dengan tujuan agar sistem bisa diakses dari berbagai device baik itu mobile maupun desktop. Keberadaan sistem analisis sentimen bisa dijadikan sebagai alternatif solusi bagi individu dan organisasi untuk melakukan analisis sentimen, sehingga mampu membantu dalam proses pengambilan keputusan maupun evaluasi kinerja.   Abstract News of online portals in the era of globalization has become a forum can be used by every individual to convey information about individual or organization, in which there’s the delivery of personal emotional value, negative, neutral or positive (or better known as sentiment). The existence of news creates an opportunity for development of a sentiment analysis system based on information that has been submitted in the news portal. The sentiment analysis system can be developed using various techniques and services, one of which’s by integrating the Google NLP system and service, which already has a service to determine the sentiment score of each given sentence, as well as the application of a web scrapping techniques as a method for data collection. The system was developed using the Laravel framework with the Extreme Programming development method which supports system development in short time. Selection of the website as the base system with aim that can be accessed from various devices, both mobile and desktop. The existence of a sentiment analysis system can be used as an alternative solution for individuals and organizations to carry out sentiment analysis, so that it can assist in the decision-making a process and performance evaluation.
Strengthening Government Apparatus for the Success of Technology-Based Local Finance Information Systems (SIKD) Indriasari, Rahayu; Sudarma, Made; Rosidi, Rosidi; Mardiati, Endang; Khairin, Fibriyani Nur
Journal of Economics, Business, and Accountancy Ventura Vol. 20 No. 2 (2017): August - November 2017
Publisher : Universitas Hayam Wuruk Perbanas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14414/jebav.v20i2.1129

Abstract

Local financial management improvements needs to be realized for good governance. Regulation No. 17 of 2003 requires regional governments to better manage their finances through technology based Local Finance Information Systems (SIKD). In practice, it often causes behavioral problems because it leads to changes in the system in a short time by claiming to gain a better system that complies with the financial administration system in Indonesia. Thus, the government has to pay attention to their apparatus. This study tries to find out factors for strengthening the finance staff for implementing technology-based SIKD. It used a phenomenological approach and the data were collected through observation, in-depth interview, and document analysis. Informants in this study are those who directly involved in technology-based SIKD, finance staff, and policy makers. It shows that there are three important factors for the success of technology-based SIKD. Firstly, the staff’s commitment to self- integrity. Secondly, ethics and morality for staff’s building character, and thirdly, improve the government apparatus’ capacity. In conclusion, the government should be proactive in improving the human resources quality for implementing technology-based SIKD, through socialization or training. Results of this study suggest that regional government regulates human resource development for the successful implementation of technology-based SIKD.
Co-Authors -, rosidi . Rosidi Agus Aan Jiwa Permana Ahmad Sulton Aji Dedi Mulawarman Akhmad Thoha Akhmad Thoha Ali Djamhuri Alrasyid, Roby Amirul Anak Agung Gede Sugianthara Anak Agung Istri Pradnyarani Dewi Anak Agung Kompiang Oka Sudana Ariawan, Ariawan Arif, Ariobimo Arifin Sabeni Artawan, Komang Nova Arya Ramadhan, Fauzul Astriyana Putri, Wahyu Astutik, Dian Atim Djazuli Aulia Fuad Rahman Aulia Rahma Yani Aulia, Faraz Muhammad Ayu Dwi Giriantari , Ida Bambang Purnomosidhi Bambang Purnomosidhi Bambang Subroto Bayu Tri Mukti Mukti Brahmananda, A.A. Ngurah Agung Satria Budi Dharma Prabhawa, I Dewa Gede Darmawan, I Gede Hadi Darmayasa, Ngakan Nyoman Dea Novim Kartikasari Desak Ketut Sintaasih Dewa Made Wiharta Dewi, Anak Agung Istri Pradnyarani Dian Astutik, Ni Putu Dima Nurfitri Apriani Djumahir - Djumahir Djumahir Djumahir Djumahir Djumilah Zain Djumilah Zain Duman Care Khrisne Dyatri Utami Arina Absari Eka Afnan Troena Eko Ganis Sukoharsono Eko Purwanto Eliwa, Yasser Endang Mardiati Erfan Muhammad, Erfan Eria Latifalia Erzha Erwi ani Erwin Saraswati Faridzky, Fadel Fibriyani Nur Khairin Ghozali Maski Grahita Chandrarin Gugus Irianto I Gede Riana I Gede Totok Suryawan I Gede Yudi Primanta I ketut Gede Darma Putra I Ketut Gede Darma Putra I Made Arsa Suyadnya I Made Oka Widyantara I Made Sukarsa I Nyoman Darmayasa I Nyoman Gunantara I P G. Adiatmika I Putu Agus Eka Darma Udayana, I Putu Agus Eka I Wayan Shandyasa I Wayan Sutama I Wayan Wirata Ida Ayu Dwi Giriantari Ida Bagus A. Swamardika IDA BAGUS GDE PRANATAYANA Iwan Triyuwono Jaya, Sandy Mahendra Jayantari, Made Widya Jo, Minho Juli Sulaksono Kardiyasa, Komang Agus Putra Karina Astria Pardede Kartika Putri Kumalasari Kartika Putri Kumalasari Ketut Gede Darma Putra, I Komang Ayu Triana Indah Kusuma Ratnawati Lestari, Ni Putu Nila Lie Jasa Lilik Purwanti Lituhayu Van Tama, Steffi Londong Allo, Michael Tanduk Langi Lukito Fauji M Achsin M. Ali Fikri M.S. Idrus M.S. Idrus Mahaputra, IGAM Yoga Maharani, I Gusti Ayu Angelica Tara Phoebe Manuaba, Ida Bagus Gede Maria Yanida Maria Yanida Martadinata, Sudrajat Minho Jo Mirna Amirya Moh. Hidayat Koniyo Muhammad Fuad Muhammad Yusda Asmorokondi Muzhaffar, Raihan Faishal Ngurah Indra ER Ni Wayan Sri Ariyani Nila Trisna Syanthi Nilasari, Ni Ketut Novia Noval Adib Nujmatul Laily Nunut Asihanna, Ester Palaguna, I Nyoman Terang Trimakna Panangian, Arden Ashido Gabe Pancawati, Ni Luh Putu Anom Pangestu, Suciati Hanung Pawana P., I Gusti Ngurah Agung Pinandhito, Samuel Hamonangan Prabawa, I Nyoman Angga Prahayuningtyas, Dita Rizky Premana Putra, I Gede Bagus Prima Wulandari, Putu Purnawan, I Putu Abdi Putra Sentana, Kadek Wibawa Putra, I Wayan Sri Atma Putri Harziani Putri, Ayu Kemala Putu Prima Wulandari Rahayu Indriasari Rahayu, Ni Luh Widi Rahmat Zuhdi Rinaldi Yonnia Firmansyah Roekhudin, Roekhudin Rosidi Rosidi Rukmi Sari Hartati Saraswati, Ni Wayan Sumartini Satria Paramartha, Putu Bagus Sindu, I Gede Partha Siregar, Mercy Irene Christine Solimun - Somiartha, Putu Sri Muljaningsih Stefanus Dwiputra, SE Stefanus SE Dwiputra Steffi Lituhayu Van Tama Sujono - Sukendri, Nengah Surachman . Surachman . Surmayanti, Reni Susanto, Dwi Setiawan Sutrisno - Swarmardika , Ida Bagus Alit Swarmardika Tama, Steffi Lituhayu Van Tona Aurora Lubis Trismia Indriyani, Ni Putu Triwayuni, I Gusti Ayu Ubud Salim Ubud Salim Umar Nimran Unti Ludigdo Unti Ludigdo Wicaksana, Putu Aryasuta Widari, Ni Nyoman Satya Wijaya Kusuma Yasa, Kadek Wijaya, I Gusti Kade Harta Kesuma Wijayakusuma, I Gusti Ngurah Lanang Wiradharma, Gde Wisnu Wuryan Andayani Yeney Widia P Yeney Widya Prihatiningtias Yogiswara, Yoni Yohanis Rura Yohanis Rura Yudhistira Bayu Perkasa Yuliansyah, Alfian Fahrul Zaki Baridwan Zefanya Nadya Putri